Sung Kim
The code I am getting error may be here: from FlagEmbedding import LayerWiseFlagLLMReranker reranker = LayerWiseFlagLLMReranker('BAAI/bge-reranker-v2-minicpm-layerwise', use_fp16=True) or here: scores = [reranker.compute_score([query, passage], cutoff_layers=cutoff_layers) for query, passage in pairs]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:04
I am calling literally sample code from fastapi code and I get this error. Any resolution since I am not using multiprocessing.
I have tried the following: - mulitprocessing - concurrent.futures - threading to get around this problem. Now, I am about to try Celery to go around this problem.
The code fails here with this error when called from fastapi -> daemonic processes are not allowed to have children scores = [reranker.compute_score([query, passage], cutoff_layers=cutoff_layers) for query, passage in pairs]
ok. I found the culprit - it is hypercorn. Your code conflicts with hypercorn.
Closing this issue since it is not error with FlagEmbedding.
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